AI-900 Question 94
Single answerA retail company wants to implement a machine learning model to categorize incoming customer reviews as either 'Positive', 'Negative', or 'Neutral' based on their sentiment. Which type of machine learning scenario does this represent?
- A
Classification
- B
Regression
- C
Clustering
- D
Reinforcement Learning
Show answer and explanation
Correct answer: A
Explanation
The scenario involves categorizing customer reviews into one of three predefined sentiment labels ('Positive', 'Negative', 'Neutral'), which aligns with the classification type of machine learning. Classification is used when the output variable is categorical and has predefined classes.
- A. Correct.
This is correct because classification is used to categorize data into predefined labels or classes, such as 'Positive', 'Negative', or 'Neutral' in this case.
- B. Incorrect.
Regression is incorrect because it is used to predict continuous values, such as predicting sales revenue or temperature, rather than categorizing data into discrete classes.
- C. Incorrect.
Clustering is incorrect because it is an unsupervised learning technique used to group data into clusters without predefined labels, which does not apply to this scenario where predefined classes ('Positive', 'Negative', 'Neutral') exist.
- D. Incorrect.
Reinforcement Learning is incorrect because it involves training an agent to make decisions in an environment to maximize cumulative rewards, which is unrelated to categorizing sentiment in customer reviews.